Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Spark isn't the only option for handling big data at scale and in memory. These four contenders take on both stream processing and batch jobs Big (and even not so big) data hasn’t been the same since ...

Apache Kafka was originally developed to complement stream processing engines such as Samza and Spark, but it may soon end up displacing them in many organizations if Confluent Inc. has its way. The ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Among stream processing engines, Spark Streaming is gaining popularity, while Apache Storm has been in production deployments for many years and is a robust, proven, widely used option. StreamAnalytix ...

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...

Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

I'm a sucker for a tool that adds a layer of abstraction and corrals complexity into something manageable and more straightforward. As such, Impetus' StreamAnalytix product has been on my radar for ...